In recent years, there are some researches for joint CTC-attention model [1]}, [2]} which use a shared-encoder representation trained by both CTC and attention model objectives simultaneously within the multi-task learning framework. In this paper, we focus on the joint CTC-attention models, aiming at better performance by using more model output information.
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